Apr 21, 2012, by admin
Python is an adapted, object-oriented, high-level programming language with dynamic semantics. Its high-level built in data configurations, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together. Python’s trouble-free, unproblematic to learn syntax emphasizes readability and therefore decreases the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reclaim. The Python analyst and the extensive standard library are available in source or binary form without charge for all major platforms, and can be freely distributed.
Often, programmers fall in love with Python because of the increased productivity it offers. Since there is no collection step, the edit-test-debug cycle is incredibly fast. Debugging Python programs is simple: a bug or bad input will never cause a segmentation fault. Instead, when the interpreter discovers an error, it raises an exemption. When the program doesn’t catch the exemption, the interpreter prints a stack trace. A source level debugger allows inspection of local and global capricious, evaluation of arbitrary expressions, setting breakpoints, stepping through the code a line at a time, and so on. The debugger is written in Python itself, testifying to Python’s thoughtful power. On the other hand, often the quickest way to debug a program is to add a few print statements to the source: the fast edit-test-debug cycle makes this simple approach very efficient.